As a restaurant owner, I want to use a camera app that scans returning plates to understand customer preferences and dish popularity, enabling me to make data-driven menu decisions and improvements.
Acceptance Criteria
[ ] The app accurately identifies each dish from the returning plates using image recognition technology.
[ ] The app counts the amount of remaining food for each dish to determine its popularity.
[ ] The app records the data with timestamps and associates them with corresponding order details.
[ ] The data collected is summarized in a report that shows popularity trends over time.
[ ] Restaurant staff can access the reports through a secure authentication process.
[ ] The app allows manual input for cases where the image recognition may not function correctly.
[ ] The app is capable of generating alerts for unusual patterns, such as a dish being consistently returned uneaten.
[ ] The system ensures customer privacy by anonymizing plate data.
sequenceDiagram
participant CameraApp as Camera App
participant PlateScanModule as Plate Scanner
participant DataProcessingModule as Data Processor
participant ReportModule as Report Generator
CameraApp->>PlateScanModule: Capture plate image
PlateScanModule->>DataProcessingModule: Send dish data
DataProcessingModule->>ReportModule: Analyze and compile data
ReportModule->>CameraApp: Generate popularity report
FeedbackCollection Specification
As a restaurant owner, I want to use a camera app that scans returning plates to understand customer preferences and dish popularity, enabling me to make data-driven menu decisions and improvements.
Acceptance Criteria